Evidence map›Paper›PMID 25695399›Full record

ArticleJournal of personalized medicine2015

Common genetic risk for melanoma encourages preventive behavior change.

Lori Diseati, Laura B Scheinfeldt, Rachel S Kasper, Ruixue Zhaoyang, Neda Gharani, Tara J Schmidlen, Erynn S Gordon, Cecili K Sessions, Susan K Delaney, Joseph P Jarvis and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Challenges in Translating GWAS Results to Clinical Care.International journal of molecular sciences · 2016
    Article
  12. Observational
  13. Article
  14. Expression of miR-203 is decreased and associated with the prognosis of melanoma patients.International journal of clinical and experimental pathology · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Lori DiseatiUnited States Air Force Medical Services, 7700 Arlington Boulevard, Falls Church, VA 22042, USA. lori.diseati@us.af.mil.
Laura B ScheinfeldtCoriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103, USA. lscheinfeldt@coriell.org.
Rachel S KasperCoriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103, USA. rskasper@comcast.net.
Ruixue ZhaoyangCoriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103, USA. rzhaoyang@coriell.org.
Neda GharaniCoriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103, USA. ngerry@coriell.org.
Tara J SchmidlenCoriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103, USA. tschmidlen@coriell.org.
Erynn S GordonCoriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103, USA. egordon@23andme.com.
Cecili K SessionsUnited States Air Force Medical Services, 7700 Arlington Boulevard, Falls Church, VA 22042, USA. cecili.sessions@us.af.mil.
Susan K DelaneyCoriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103, USA. sdelaney@coriell.org.
Joseph P JarvisCoriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103, USA. jjarvis@coriell.org.
Norman GerryCoriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103, USA. ngerry@coriell.org.
Michael ChristmanCoriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103, USA. christman@coriell.org.
Coriell Institute For Medical Research · USUnited States Air Force · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is currently great interest in using genetic risk estimates for common disease in personalized healthcare. Here we assess melanoma risk-related preventive behavioral change in the context of the Coriell Personalized Medicine Collaborative (CPMC). As part of on-going reporting activities within the project, participants received a personalized risk assessment including information related to their own self-reported family history of melanoma and a genetic risk variant showing a moderate effect size (1.7, 3.0 respectively for heterozygous and homozygous individuals). Participants who opted to view their report were sent an optional outcome survey assessing risk perception and behavioral change in the months that followed. Participants that report family history risk, genetic risk, or both risk factors for melanoma were significantly more likely to increase skin cancer preventive behaviors when compared to participants with neither risk factor (ORs = 2.04, 2.79, 4.06 and p-values = 0.02, 2.86 × 10-5, 4.67 × 10-5, respectively), and we found the relationship between risk information and behavior to be partially mediated by anxiety. Genomic risk assessments appear to encourage positive behavioral change in a manner that is complementary to family history risk information and therefore may represent a useful addition to standard of care for melanoma prevention.

Identifiers

PMID25695399
PMCPMC4384058
OpenAlexW2048338353

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.